MacBook Pro (14-inch, 2024)
Geekbench AI Score
5400
Single Precision Score
36828
Half Precision Score
49821
Quantized Score
Geekbench AI 1.3.0 Corporate for macOS AArch64
Result Information
| Upload Date | June 20 2025 07:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G5054d) |
| 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% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
18217
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
23916
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23060
373.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32504
526.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17262
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122854
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230903
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
19907
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
23451
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4740
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
45440
539.9 IPS |
|
|
Face Detection (Q)
|
100% |
65740
781.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8638
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111514
859.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
175808
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
25432
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
237942
305.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301098
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5956
219.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46172
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76277
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2861
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5056
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5230
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5652
97.4 IPS |
|
|
Machine Translation (HP)
|
100% |
15872
273.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16125
278.7 IPS |
