MacBook Pro (14-inch, 2024)
Geekbench AI Score
5780
Single Precision Score
39103
Half Precision Score
52927
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dodovdv |
| Upload Date | March 17 2026 05:49 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
2165
402.7 IPS |
|
|
Image Classification (HP)
|
100% |
20393
3.79 KIPS |
|
|
Image Classification (Q)
|
97% |
24349
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23982
388.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32741
530.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17332
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123800
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
234140
274.4 IPS |
|
|
Object Detection (SP)
|
100% |
2579
204.5 IPS |
|
|
Object Detection (HP)
|
100% |
21769
1.73 KIPS |
|
|
Object Detection (Q)
|
91% |
27622
2.21 KIPS |
|
|
Face Detection (SP)
|
100% |
5107
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
45355
538.9 IPS |
|
|
Face Detection (Q)
|
100% |
65723
780.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8859
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
112645
867.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
182979
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
30679
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
239013
307.3 IPS |
|
|
Style Transfer (Q)
|
96% |
332523
429.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6904
254.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50892
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82815
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5682
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5474
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5972
102.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17959
309.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18457
319.0 IPS |
