MacBook Pro (16-inch, 2021)
Geekbench AI Score
3700
Single Precision Score
16460
Half Precision Score
16352
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | xwang |
| Upload Date | September 30 2025 01:15 AM |
| Views | 6 |
| Notes | Neural |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1347
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
6827
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6494
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9783
158.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10453
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11156
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70391
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67521
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
7978
634.6 IPS |
|
|
Object Detection (Q)
|
91% |
7456
595.8 IPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
16199
192.5 IPS |
|
|
Face Detection (Q)
|
100% |
15133
179.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5784
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
52183
402.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53567
418.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22064
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
120275
154.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115661
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25622
946.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27868
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3947
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3879
67.0 IPS |
