MacBook Pro (16-inch, 2021)
Geekbench AI Score
3647
Single Precision Score
14526
Half Precision Score
14227
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Wimpol |
| Upload Date | October 09 2025 09:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1325
246.4 IPS |
|
|
Image Classification (HP)
|
100% |
6057
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5702
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8759
142.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9311
150.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10511
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
66498
77.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
63800
74.8 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
6789
540.1 IPS |
|
|
Object Detection (Q)
|
91% |
6427
513.5 IPS |
|
|
Face Detection (SP)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
12883
153.1 IPS |
|
|
Face Detection (Q)
|
100% |
11996
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5728
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
44227
340.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
45463
355.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22083
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
114475
147.2 IPS |
|
|
Style Transfer (Q)
|
96% |
107278
138.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4118
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24317
897.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24996
923.0 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4168
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4056
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3115
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2643
45.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2631
45.5 IPS |
