MacBook Pro (16-inch, 2021)
Geekbench AI Score
3651
Single Precision Score
15120
Half Precision Score
14754
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | November 24 2025 12:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
6362
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5991
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9037
146.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9558
154.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10503
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
68063
79.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
63304
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
99% |
7201
572.8 IPS |
|
|
Object Detection (Q)
|
91% |
6772
541.1 IPS |
|
|
Face Detection (SP)
|
100% |
3375
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
13771
163.6 IPS |
|
|
Face Detection (Q)
|
100% |
12797
152.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5703
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45274
348.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47007
367.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22162
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
116989
150.4 IPS |
|
|
Style Transfer (Q)
|
96% |
109885
141.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4122
152.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24892
919.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25776
951.8 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4204
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4052
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2904
50.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2884
49.8 IPS |
