MacBook Pro (14-inch, 2024)
Geekbench AI Score
5755
Single Precision Score
38896
Half Precision Score
53040
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | swaroop325 |
| Upload Date | March 29 2026 04:38 AM |
| Views | 8 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2163
402.2 IPS |
|
|
Image Classification (HP)
|
100% |
19130
3.56 KIPS |
|
|
Image Classification (Q)
|
97% |
24927
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23944
388.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33415
541.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17330
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123468
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232941
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2584
205.0 IPS |
|
|
Object Detection (HP)
|
100% |
22229
1.76 KIPS |
|
|
Object Detection (Q)
|
91% |
26345
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
5042
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
44909
533.6 IPS |
|
|
Face Detection (Q)
|
100% |
64734
769.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8761
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112908
869.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
187098
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
30430
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
239653
308.1 IPS |
|
|
Style Transfer (Q)
|
96% |
327432
422.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7065
260.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50995
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85390
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5607
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5514
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5831
100.4 IPS |
|
|
Machine Translation (HP)
|
100% |
18146
312.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18463
319.1 IPS |
