MacBook Pro (14-inch, 2024)
Geekbench AI Score
5403
Single Precision Score
37282
Half Precision Score
50658
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 07:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
17766
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
22890
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23278
377.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32395
525.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17333
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122706
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231498
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
100% |
20483
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24536
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4675
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
40614
482.6 IPS |
|
|
Face Detection (Q)
|
100% |
66514
790.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8657
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111564
859.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
176781
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
26267
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
238293
306.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299731
386.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5959
220.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46595
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79016
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
6019
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5795
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5686
97.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16486
284.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16375
283.0 IPS |
