MacBook Pro (16-inch, 2021)
Geekbench AI Score
3763
Single Precision Score
16300
Half Precision Score
16230
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 21 2025 10:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1312
243.9 IPS |
|
|
Image Classification (HP)
|
100% |
6927
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6565
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9795
158.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10459
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11106
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70556
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
67832
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (HP)
|
99% |
7965
633.6 IPS |
|
|
Object Detection (Q)
|
91% |
7400
591.3 IPS |
|
|
Face Detection (SP)
|
100% |
3379
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
14985
178.1 IPS |
|
|
Face Detection (Q)
|
100% |
15195
180.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5924
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51850
399.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
53986
421.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22466
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
121605
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
117869
152.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4332
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25780
952.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27676
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3949
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3906
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3611
62.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3521
60.8 IPS |
