MacBook Pro (14-inch, 2024)
Geekbench AI Score
21672
Single Precision Score
24008
Half Precision Score
21688
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | viniciusdssilva |
| Upload Date | January 11 2025 05:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10377
1.93 KIPS |
|
|
Image Classification (HP)
|
100% |
10289
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
8977
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19375
314.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20879
338.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20936
339.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
106829
124.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
109835
128.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104333
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
9032
716.4 IPS |
|
|
Object Detection (HP)
|
100% |
9971
790.9 IPS |
|
|
Object Detection (Q)
|
91% |
8648
691.0 IPS |
|
|
Face Detection (SP)
|
100% |
39481
469.1 IPS |
|
|
Face Detection (HP)
|
100% |
39663
471.3 IPS |
|
|
Face Detection (Q)
|
100% |
31721
376.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
43880
338.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46652
359.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
39955
312.3 IPS |
|
|
Style Transfer (SP)
|
100% |
221461
284.7 IPS |
|
|
Style Transfer (HP)
|
100% |
238790
307.0 IPS |
|
|
Style Transfer (Q)
|
96% |
222975
287.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29491
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32506
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25400
937.9 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5383
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5407
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3515
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3498
60.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3499
60.5 IPS |
