MacBook Pro (16-inch, 2021)
Geekbench AI Score
3690
Single Precision Score
16373
Half Precision Score
16283
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | slawomirrybarczyk |
| Upload Date | July 16 2025 04:45 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
6950
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6623
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9698
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10444
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11017
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71969
84.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67871
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
8071
642.0 IPS |
|
|
Object Detection (Q)
|
91% |
7511
600.1 IPS |
|
|
Face Detection (SP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
14331
170.3 IPS |
|
|
Face Detection (Q)
|
100% |
13507
160.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51869
399.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
53919
421.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21968
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121079
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
117090
151.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4318
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25899
956.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27981
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4022
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3195
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3873
66.9 IPS |
