MacBook Pro (14-inch, 2021)
Geekbench AI Score
3672
Single Precision Score
5811
Half Precision Score
4684
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tony84 |
| Upload Date | June 15 2025 08:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
2008
373.3 IPS |
|
|
Image Classification (Q)
|
96% |
1503
280.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11052
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21996
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16914
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2306
183.6 IPS |
|
|
Object Detection (Q)
|
94% |
1705
135.9 IPS |
|
|
Face Detection (SP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
5059
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
3094
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5728
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10342
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7113
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21951
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33546
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26892
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4310
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5646
208.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4049
149.5 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3967
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3189
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4886
84.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4747
82.0 IPS |
