MacBook Pro (16-inch, 2021)
Geekbench AI Score
2651
Single Precision Score
4068
Half Precision Score
3412
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gdansk |
| Upload Date | August 15 2024 11:52 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.16 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1221
227.1 IPS |
|
|
Image Classification (HP)
|
100% |
1569
291.7 IPS |
|
|
Image Classification (Q)
|
99% |
1566
292.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1166
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5526
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
12770
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11016
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (HP)
|
97% |
1827
145.4 IPS |
|
|
Object Detection (Q)
|
94% |
1434
114.3 IPS |
|
|
Face Detection (SP)
|
100% |
2365
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
3868
46.0 IPS |
|
|
Face Detection (Q)
|
100% |
2483
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4959
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7650
59.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
3735
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14276
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23364
30.0 IPS |
|
|
Style Transfer (Q)
|
100% |
23387
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3241
119.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4060
149.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3202
118.6 IPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3636
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3546
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2914
50.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3012
52.1 IPS |
