MacBook Pro (16-inch, 2021)
Geekbench AI Score
3636
Single Precision Score
5771
Half Precision Score
4660
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 01 2025 09:29 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1331
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
2004
372.6 IPS |
|
|
Image Classification (Q)
|
96% |
1466
273.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2630
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10948
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21181
24.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16598
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
97% |
2318
184.5 IPS |
|
|
Object Detection (Q)
|
94% |
1686
134.4 IPS |
|
|
Face Detection (SP)
|
100% |
2997
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5189
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
3052
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5667
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10552
81.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7197
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21315
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34767
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27006
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4306
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6058
223.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3922
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3998
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3989
68.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4821
83.3 IPS |
