MacBook Pro (14-inch, 2024)
Geekbench AI Score
5365
Single Precision Score
37204
Half Precision Score
50656
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | piotrga |
| Upload Date | September 05 2025 08:59 PM |
| Views | 7 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2084
387.6 IPS |
|
|
Image Classification (HP)
|
100% |
17679
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
21804
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23161
375.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32190
521.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16338
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122645
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229973
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
20079
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
23446
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4745
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
45794
544.1 IPS |
|
|
Face Detection (Q)
|
100% |
66871
794.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8653
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
106464
820.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
180467
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25389
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
239289
307.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302122
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5961
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47358
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82213
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2862
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5481
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5883
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5689
98.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16641
286.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16672
288.1 IPS |
