MacBook Pro (14-inch, 2024)
Geekbench AI Score
19495
Single Precision Score
22682
Half Precision Score
19880
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kdw4gb |
| Upload Date | December 09 2024 10:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10444
1.94 KIPS |
|
|
Image Classification (HP)
|
100% |
10725
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
8958
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19528
316.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20571
333.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21455
347.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
108027
126.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
110241
128.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103958
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
6030
478.3 IPS |
|
|
Object Detection (HP)
|
100% |
10152
805.3 IPS |
|
|
Object Detection (Q)
|
91% |
8780
701.5 IPS |
|
|
Face Detection (SP)
|
100% |
39483
469.1 IPS |
|
|
Face Detection (HP)
|
100% |
39389
468.0 IPS |
|
|
Face Detection (Q)
|
100% |
29178
346.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
45465
350.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
47198
363.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
40194
314.1 IPS |
|
|
Style Transfer (SP)
|
100% |
221391
284.6 IPS |
|
|
Style Transfer (HP)
|
100% |
238332
306.4 IPS |
|
|
Style Transfer (Q)
|
96% |
218255
281.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29849
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32462
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26359
973.3 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5485
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5337
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1698
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1851
31.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1527
26.4 IPS |
