MacBook Pro (14-inch, 2024)
Geekbench AI Score
5379
Single Precision Score
36933
Half Precision Score
50163
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 06:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
17453
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
21983
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2292
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23326
378.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32266
523.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17313
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122477
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
228018
267.3 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
19840
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23771
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4656
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
45525
540.9 IPS |
|
|
Face Detection (Q)
|
100% |
67294
799.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8666
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
106618
821.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
177234
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25456
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
236845
304.5 IPS |
|
|
Style Transfer (Q)
|
96% |
301091
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5962
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47389
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78431
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2902
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5316
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5726
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5635
97.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16486
284.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16274
281.2 IPS |
