MacBook Pro (16-inch, 2021)
Geekbench AI Score
3544
Single Precision Score
14378
Half Precision Score
14311
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 03 2025 07:08 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 | 3.18 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
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
6099
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5712
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8342
135.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9339
151.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10235
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
68915
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65508
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (HP)
|
99% |
6444
512.6 IPS |
|
|
Object Detection (Q)
|
91% |
6192
494.8 IPS |
|
|
Face Detection (SP)
|
100% |
3185
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
12555
149.2 IPS |
|
|
Face Detection (Q)
|
100% |
12328
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5568
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
44778
345.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
46710
365.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21851
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
117749
151.4 IPS |
|
|
Style Transfer (Q)
|
96% |
112278
144.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4104
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24519
905.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25019
923.8 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3873
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3890
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3074
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2660
45.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2648
45.8 IPS |
