MacBook Pro (16-inch, 2021)
Geekbench AI Score
3711
Single Precision Score
5846
Half Precision Score
4727
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | April 11 2025 05:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.7 IPS |
|
|
Image Classification (Q)
|
96% |
1510
281.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2621
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11115
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21693
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17122
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2313
184.1 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
3266
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
5204
61.8 IPS |
|
|
Face Detection (Q)
|
100% |
3117
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5833
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10331
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7143
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22080
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33348
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27224
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4378
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5716
211.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4082
150.7 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3966
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4776
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4836
83.6 IPS |
