MacBook Pro (14-inch, 2024)
Geekbench AI Score
5385
Single Precision Score
36986
Half Precision Score
50408
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | October 30 2025 11:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
17889
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
22657
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2262
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23198
376.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32400
525.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17493
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122558
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
228375
267.7 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
19455
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
24097
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4716
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
45815
544.4 IPS |
|
|
Face Detection (Q)
|
100% |
66591
791.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8647
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
107080
825.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
176750
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25365
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237651
305.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303610
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5993
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46294
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79531
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2888
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5515
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5621
96.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16266
280.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16882
291.7 IPS |
