MacBook Pro (16-inch, 2021)
Geekbench AI Score
3536
Single Precision Score
5552
Half Precision Score
4547
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | zedwarth |
| Upload Date | March 08 2025 09:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1276
237.3 IPS |
|
|
Image Classification (HP)
|
100% |
1998
371.6 IPS |
|
|
Image Classification (Q)
|
96% |
1461
272.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2254
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2594
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10520
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20988
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16470
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
97% |
2271
180.8 IPS |
|
|
Object Detection (Q)
|
94% |
1686
134.4 IPS |
|
|
Face Detection (SP)
|
100% |
2899
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
5090
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
2873
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5688
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10534
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7216
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20904
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33545
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25325
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4174
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6158
227.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3914
144.5 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3867
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3855
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3063
52.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3031
52.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4541
78.5 IPS |
