MacBook Pro (14-inch, 2024)
Geekbench AI Score
5379
Single Precision Score
37163
Half Precision Score
50782
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sundogya |
| Upload Date | September 06 2025 11:45 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
17452
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22872
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23325
378.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32591
528.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17159
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122717
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230142
269.7 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
20049
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24798
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4693
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
45807
544.3 IPS |
|
|
Face Detection (Q)
|
100% |
60760
722.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8644
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
112068
863.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
180545
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25341
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
238995
307.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297222
383.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5946
219.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46876
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78702
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2895
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6400
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5607
96.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16333
281.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16327
282.2 IPS |
