MacBook Pro (16-inch, 2021)
Geekbench AI Score
3597
Single Precision Score
5681
Half Precision Score
4635
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 18 2025 02:04 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1317
244.9 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (Q)
|
96% |
1477
275.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2614
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10626
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21947
25.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17510
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.7 IPS |
|
|
Object Detection (HP)
|
97% |
2309
183.8 IPS |
|
|
Object Detection (Q)
|
94% |
1743
139.0 IPS |
|
|
Face Detection (SP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5316
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3003
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5860
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10544
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7217
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21177
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33168
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25937
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4205
155.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6001
221.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3921
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3933
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3067
52.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3311
57.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4483
77.5 IPS |
