MacBook Pro (14-inch, 2024)
Geekbench AI Score
5399
Single Precision Score
37164
Half Precision Score
49125
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tmsteere |
| Upload Date | April 21 2025 11:03 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.4 IPS |
|
|
Image Classification (HP)
|
100% |
17933
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
22324
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23244
376.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32244
522.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17408
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122537
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230364
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
19798
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23788
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4653
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
45379
539.2 IPS |
|
|
Face Detection (Q)
|
100% |
56799
674.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8638
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111548
859.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
176358
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
26074
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237627
305.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302851
390.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5955
219.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46846
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79201
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5359
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5269
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5657
97.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16461
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16393
283.3 IPS |
