MacBook Pro (16-inch, 2021)
Geekbench ML Score
8572
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | seanzxx |
| Upload Date | July 02 2024 09:34 AM |
| Views | 29 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5279h) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4511
844.1 IPS |
|
|
Image Classification (F16)
|
100% |
6739
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
6863
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1552
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1393
23.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1445
24.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
52733
63.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
62217
75.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
62186
75.3 IPS |
|
|
Object Detection (F32)
|
100% |
3526
263.2 IPS |
|
|
Object Detection (F16)
|
100% |
4532
338.3 IPS |
|
|
Object Detection (I8)
|
97% |
3279
244.8 IPS |
|
|
Face Detection (F32)
|
100% |
15317
182.1 IPS |
|
|
Face Detection (F16)
|
97% |
10704
127.3 IPS |
|
|
Face Detection (I8)
|
96% |
11223
133.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
25360
196.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
27170
210.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
30504
236.6 IPS |
|
|
Style Transfer (F32)
|
100% |
85328
112.2 IPS |
|
|
Style Transfer (F16)
|
100% |
112095
147.5 IPS |
|
|
Style Transfer (I8)
|
100% |
115740
152.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8685
310.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14450
516.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15382
549.4 IPS |
|
|
Text Classification (F32)
|
100% |
2087
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3512
5.05 KIPS |
|
|
Text Classification (I8)
|
96% |
3443
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
897
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
970
17.9 IPS |
|
|
Machine Translation (I8)
|
99% |
779
14.3 IPS |
