MacBook Pro (14-inch, 2024)
Geekbench AI Score
4846
Single Precision Score
36507
Half Precision Score
51330
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Peter_ma |
| Upload Date | September 07 2025 10:50 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
17266
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
25059
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21236
344.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30121
488.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10044
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122867
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231253
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
18273
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25740
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4285
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
43989
522.7 IPS |
|
|
Face Detection (Q)
|
100% |
57553
683.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8606
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98992
762.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167199
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21796
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
231589
297.7 IPS |
|
|
Style Transfer (Q)
|
96% |
295286
381.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6127
226.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49405
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85917
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2896
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6200
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6352
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4373
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16540
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18225
314.9 IPS |
