MacBook Pro (16-inch, 2021)
Geekbench AI Score
3712
Single Precision Score
16437
Half Precision Score
16362
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | June 26 2025 08:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
6879
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6536
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9785
158.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10446
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11049
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69960
81.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67598
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
99% |
7983
635.0 IPS |
|
|
Object Detection (Q)
|
91% |
7458
595.9 IPS |
|
|
Face Detection (SP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
16331
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
15135
179.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5868
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51052
393.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53944
421.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22033
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120496
154.9 IPS |
|
|
Style Transfer (Q)
|
96% |
116273
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4317
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26095
963.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28021
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3899
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3219
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3728
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3854
66.6 IPS |
