MacBook Pro (14-inch, 2024)
Geekbench AI Score
5390
Single Precision Score
37765
Half Precision Score
50472
Quantized Score
Geekbench AI 1.3.0 Corporate for macOS AArch64
Result Information
| Upload Date | June 20 2025 06:42 AM |
| Views | 3 |
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% |
2073
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
18016
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
22815
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23065
373.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32210
522.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17117
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122875
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
230590
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
19623
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23645
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4735
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
45428
539.8 IPS |
|
|
Face Detection (Q)
|
100% |
65888
782.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8669
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
112906
869.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
181708
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
25492
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
239107
307.4 IPS |
|
|
Style Transfer (Q)
|
96% |
304069
392.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5962
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46434
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77202
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
6299
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5637
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5714
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16419
282.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16903
292.1 IPS |
