MacBook Pro (16-inch, 2021)
Geekbench AI Score
3738
Single Precision Score
16437
Half Precision Score
16352
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 21 2025 10:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1291
240.1 IPS |
|
|
Image Classification (HP)
|
100% |
6810
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6493
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9856
159.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10446
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11138
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70660
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
68212
79.9 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.9 IPS |
|
|
Object Detection (HP)
|
99% |
7994
635.9 IPS |
|
|
Object Detection (Q)
|
91% |
7485
598.1 IPS |
|
|
Face Detection (SP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
16288
193.5 IPS |
|
|
Face Detection (Q)
|
100% |
14835
176.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5903
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51686
398.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53663
419.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22188
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122013
156.8 IPS |
|
|
Style Transfer (Q)
|
96% |
117821
152.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4332
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25886
955.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27852
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3967
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3997
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3601
62.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3780
65.3 IPS |
