MacBook Pro (16-inch, 2021)
Geekbench AI Score
3568
Single Precision Score
14285
Half Precision Score
13999
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | nejatezamin |
| Upload Date | October 22 2025 04:43 AM |
| Views | 2 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1332
247.6 IPS |
|
|
Image Classification (HP)
|
100% |
5829
1.08 KIPS |
|
|
Image Classification (Q)
|
96% |
5267
983.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8391
136.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8913
144.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10298
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
68643
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
64452
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
99% |
6685
531.8 IPS |
|
|
Object Detection (Q)
|
91% |
6268
500.8 IPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
11678
138.8 IPS |
|
|
Face Detection (Q)
|
100% |
11592
137.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5596
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45236
348.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
45442
355.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21753
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
117826
151.5 IPS |
|
|
Style Transfer (Q)
|
96% |
111896
144.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4138
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25029
924.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25813
953.1 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
4130
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4103
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2985
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2451
42.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2442
42.2 IPS |
