MacBook Pro (14-inch, 2021)
Geekbench AI Score
3169
Single Precision Score
4944
Half Precision Score
4058
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ksnyde |
| Upload Date | November 10 2024 08:57 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 2.95 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1173
218.1 IPS |
|
|
Image Classification (HP)
|
100% |
1756
326.7 IPS |
|
|
Image Classification (Q)
|
96% |
1289
240.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2307
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8682
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16926
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13978
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
97% |
2139
170.3 IPS |
|
|
Object Detection (Q)
|
94% |
1549
123.5 IPS |
|
|
Face Detection (SP)
|
100% |
2702
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
4204
49.9 IPS |
|
|
Face Detection (Q)
|
100% |
2672
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5144
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9632
74.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6462
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19295
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28173
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22899
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3638
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5115
188.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3510
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
1936
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3113
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3098
4.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2738
47.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3542
61.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4381
75.7 IPS |
