MacBook Pro (14-inch, 2024)
Geekbench AI Score
5365
Single Precision Score
37798
Half Precision Score
51223
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | slavatsarev |
| Upload Date | May 26 2025 08:55 PM |
| Views | 8 |
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, 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% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
17959
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
22706
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23603
382.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33604
544.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17227
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122914
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
230961
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
20050
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
23998
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4678
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
45436
539.9 IPS |
|
|
Face Detection (Q)
|
100% |
66838
794.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8615
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111358
858.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
182283
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
25019
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
238808
307.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301473
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5994
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46681
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80087
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2894
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
6034
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6114
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5594
96.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16742
288.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16350
282.5 IPS |
