MacBook Pro (14-inch, 2024)
Geekbench AI Score
5374
Single Precision Score
37121
Half Precision Score
48919
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | uwejugel |
| Upload Date | June 10 2025 07:17 AM |
| Views | 7 |
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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
17715
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
21804
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2275
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23224
376.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32188
521.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17276
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123061
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230345
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
19831
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23948
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4702
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
45561
541.4 IPS |
|
|
Face Detection (Q)
|
100% |
55149
655.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8627
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111626
860.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
177052
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25559
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
237110
304.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301139
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5948
219.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47204
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80110
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2883
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5323
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5186
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5648
97.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16331
281.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16597
286.8 IPS |
