MacBook Pro (14-inch, 2021)
Geekbench AI Score
11061
Single Precision Score
12612
Half Precision Score
11362
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mcx |
| Upload Date | March 18 2025 04:21 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| 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% |
5321
989.6 IPS |
|
|
Image Classification (HP)
|
100% |
5357
996.3 IPS |
|
|
Image Classification (Q)
|
97% |
4687
874.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10251
166.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10479
169.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10731
174.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
57122
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
60597
70.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
55664
65.2 IPS |
|
|
Object Detection (SP)
|
100% |
4591
364.2 IPS |
|
|
Object Detection (HP)
|
100% |
5313
421.4 IPS |
|
|
Object Detection (Q)
|
91% |
4794
383.1 IPS |
|
|
Face Detection (SP)
|
100% |
21505
255.5 IPS |
|
|
Face Detection (HP)
|
100% |
22428
266.5 IPS |
|
|
Face Detection (Q)
|
100% |
16718
198.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26836
206.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27673
213.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
23685
185.1 IPS |
|
|
Style Transfer (SP)
|
100% |
96881
124.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121842
156.6 IPS |
|
|
Style Transfer (Q)
|
96% |
113521
146.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17172
634.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17841
658.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14477
534.6 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4103
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4002
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1026
17.7 IPS |
