MacBook Pro (14-inch, 2024)
Geekbench AI Score
5325
Single Precision Score
37241
Half Precision Score
51085
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | raska-vilem |
| Upload Date | May 28 2025 01:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2051
381.5 IPS |
|
|
Image Classification (HP)
|
100% |
17454
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
24232
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23351
378.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32803
531.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17144
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122920
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231525
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
100% |
20439
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24292
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4551
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
45680
542.8 IPS |
|
|
Face Detection (Q)
|
100% |
63712
757.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8542
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111886
862.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
179125
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
25102
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
237472
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302248
390.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5962
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47411
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79850
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5326
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6011
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5521
95.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16354
281.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16356
282.7 IPS |
