MacBook Pro (16-inch, 2021)
Geekbench AI Score
3656
Single Precision Score
14721
Half Precision Score
14459
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 03 2025 06:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
6228
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5679
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8808
142.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9379
152.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10518
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
67640
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66141
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.6 IPS |
|
|
Object Detection (HP)
|
99% |
6892
548.2 IPS |
|
|
Object Detection (Q)
|
91% |
6441
514.7 IPS |
|
|
Face Detection (SP)
|
100% |
3343
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
13083
155.5 IPS |
|
|
Face Detection (Q)
|
100% |
12260
145.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5700
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
44650
344.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
46978
367.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22102
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
117258
150.7 IPS |
|
|
Style Transfer (Q)
|
96% |
111835
144.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4240
156.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25132
928.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25100
926.8 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4043
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3091
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2686
46.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2708
46.8 IPS |
