MacBook Pro (14-inch, 2024)
Geekbench AI Score
5756
Single Precision Score
36412
Half Precision Score
49236
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | banthafood |
| Upload Date | March 14 2025 10:03 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
17083
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
22745
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23101
374.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32099
520.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18842
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123133
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229771
269.3 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
19223
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23236
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4539
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
44125
524.3 IPS |
|
|
Face Detection (Q)
|
100% |
61811
734.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8672
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
110053
847.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
173855
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
35283
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
237358
305.1 IPS |
|
|
Style Transfer (Q)
|
96% |
305035
393.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7012
258.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46147
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77320
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5156
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5246
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5773
99.5 IPS |
|
|
Machine Translation (HP)
|
100% |
15993
275.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16154
279.2 IPS |
