MacBook Pro (14-inch, 2024)
Geekbench AI Score
5376
Single Precision Score
38587
Half Precision Score
52920
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 01 2025 07:51 AM |
| Views | 4 |
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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2065
384.0 IPS |
|
|
Image Classification (HP)
|
100% |
18967
3.53 KIPS |
|
|
Image Classification (Q)
|
97% |
23859
4.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23563
382.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33983
550.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17170
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122013
142.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232200
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2454
194.7 IPS |
|
|
Object Detection (HP)
|
100% |
20947
1.66 KIPS |
|
|
Object Detection (Q)
|
91% |
25381
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4583
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
45816
544.4 IPS |
|
|
Face Detection (Q)
|
100% |
67522
802.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8571
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112740
868.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
180862
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25486
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
237573
305.4 IPS |
|
|
Style Transfer (Q)
|
96% |
309921
399.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5887
217.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48336
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83018
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6251
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6705
9.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5787
99.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17282
297.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17114
295.8 IPS |
