MacBook Pro (16-inch, 2021)
Geekbench AI Score
3693
Single Precision Score
5823
Half Precision Score
4692
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | June 28 2025 01:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2041
379.5 IPS |
|
|
Image Classification (Q)
|
96% |
1500
280.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2255
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2605
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11060
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21584
25.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16961
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1563
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2298
182.9 IPS |
|
|
Object Detection (Q)
|
94% |
1713
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
3311
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
5298
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
3141
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5771
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10372
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7086
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21880
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33615
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26907
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4351
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5678
209.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4073
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3936
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4770
82.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4749
82.1 IPS |
