MacBook Pro (14-inch, 2021)
Geekbench ML Score
8861
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 07:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5298h) |
| 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 | 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% |
4383
820.3 IPS |
|
|
Image Classification (F16)
|
100% |
6576
1.23 KIPS |
|
|
Image Classification (I8)
|
99% |
7074
1.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1534
25.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1343
22.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1353
22.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
52619
63.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
62206
75.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
62485
75.7 IPS |
|
|
Object Detection (F32)
|
100% |
3499
261.2 IPS |
|
|
Object Detection (F16)
|
100% |
4520
337.5 IPS |
|
|
Object Detection (I8)
|
97% |
3254
243.0 IPS |
|
|
Face Detection (F32)
|
100% |
16540
196.7 IPS |
|
|
Face Detection (F16)
|
97% |
11264
133.9 IPS |
|
|
Face Detection (I8)
|
96% |
11250
133.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
25179
195.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
34287
265.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
33525
260.0 IPS |
|
|
Style Transfer (F32)
|
100% |
82571
108.6 IPS |
|
|
Style Transfer (F16)
|
100% |
112080
147.4 IPS |
|
|
Style Transfer (I8)
|
100% |
116315
153.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9128
326.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16087
574.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15677
559.9 IPS |
|
|
Text Classification (F32)
|
100% |
2071
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3521
5.06 KIPS |
|
|
Text Classification (I8)
|
96% |
3516
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
861
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1690
31.1 IPS |
|
|
Machine Translation (I8)
|
99% |
794
14.6 IPS |
