MacBook Pro (14-inch, 2021)
Geekbench ML Score
6550
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 02:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.9 (Build 22G830) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 2.44 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4652
870.5 IPS |
|
|
Image Classification (F16)
|
100% |
4632
866.7 IPS |
|
|
Image Classification (I8)
|
99% |
4621
864.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
767
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
708
11.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
702
11.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
51189
62.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
56740
68.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
55608
67.3 IPS |
|
|
Object Detection (F32)
|
100% |
3465
258.7 IPS |
|
|
Object Detection (F16)
|
100% |
3543
264.5 IPS |
|
|
Object Detection (I8)
|
97% |
1686
125.9 IPS |
|
|
Face Detection (F32)
|
100% |
17130
203.7 IPS |
|
|
Face Detection (F16)
|
97% |
18560
220.7 IPS |
|
|
Face Detection (I8)
|
96% |
13954
165.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
24774
192.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
26319
204.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
25954
201.3 IPS |
|
|
Style Transfer (F32)
|
100% |
76953
101.2 IPS |
|
|
Style Transfer (F16)
|
100% |
110422
145.3 IPS |
|
|
Style Transfer (I8)
|
100% |
80618
106.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11666
416.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12431
443.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
12500
446.4 IPS |
|
|
Text Classification (F32)
|
100% |
515
739.9 IPS |
|
|
Text Classification (F16)
|
100% |
522
750.1 IPS |
|
|
Text Classification (I8)
|
96% |
517
743.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1195
22.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1219
22.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1285
23.6 IPS |
