MacBook Pro (16-inch, 2021)
Geekbench AI Score
3591
Single Precision Score
5959
Half Precision Score
4789
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 11:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
2009
373.6 IPS |
|
|
Image Classification (Q)
|
96% |
1479
276.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2602
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10388
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23242
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
18159
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.1 IPS |
|
|
Object Detection (HP)
|
97% |
2313
184.1 IPS |
|
|
Object Detection (Q)
|
94% |
1718
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
3304
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
5452
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3177
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5641
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10540
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7316
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21792
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34737
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27866
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4193
154.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5601
206.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4007
148.0 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4118
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4077
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2960
51.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4959
85.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5002
86.4 IPS |
