MacBook Pro (16-inch, 2021)
Geekbench AI Score
3681
Single Precision Score
16487
Half Precision Score
16295
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | andreasphh |
| Upload Date | October 12 2025 11:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
6890
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6520
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9751
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10452
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11104
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71087
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65865
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
7945
632.0 IPS |
|
|
Object Detection (Q)
|
91% |
7423
593.2 IPS |
|
|
Face Detection (SP)
|
100% |
3236
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
16169
192.1 IPS |
|
|
Face Detection (Q)
|
100% |
15152
180.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5787
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51647
397.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53522
418.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21870
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121364
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
117203
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4324
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25733
950.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28294
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4023
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3714
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3662
63.3 IPS |
