MacBook Pro (16-inch, 2021)
Geekbench AI Score
2598
Single Precision Score
4039
Half Precision Score
3380
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ksaldano |
| Upload Date | August 19 2024 08:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1225
227.7 IPS |
|
|
Image Classification (HP)
|
100% |
1611
299.7 IPS |
|
|
Image Classification (Q)
|
99% |
1604
299.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1141
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5441
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
12666
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10887
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1280
101.5 IPS |
|
|
Object Detection (HP)
|
97% |
1831
145.8 IPS |
|
|
Object Detection (Q)
|
94% |
1433
114.2 IPS |
|
|
Face Detection (SP)
|
100% |
2267
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
3709
44.1 IPS |
|
|
Face Detection (Q)
|
100% |
2486
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4796
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7595
58.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
3507
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14328
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23159
29.8 IPS |
|
|
Style Transfer (Q)
|
100% |
23287
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3251
120.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3970
146.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3221
119.3 IPS |
|
|
Text Classification (SP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3584
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3550
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2903
50.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2943
50.9 IPS |
