MacBook Pro (14-inch, 2024)
Geekbench AI Score
5387
Single Precision Score
36788
Half Precision Score
49175
Quantized Score
Geekbench AI 1.3.0 Corporate for macOS AArch64
Result Information
| Upload Date | June 20 2025 07:42 AM |
| Views | 5 |
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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
17944
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
21819
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23250
376.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32174
521.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17392
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122657
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230029
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
19190
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23631
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4752
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
45207
537.2 IPS |
|
|
Face Detection (Q)
|
100% |
65340
776.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8686
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
111168
856.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
180169
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25914
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
238348
306.4 IPS |
|
|
Style Transfer (Q)
|
96% |
300622
387.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5953
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46300
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76275
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2850
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5257
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5016
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5605
96.5 IPS |
|
|
Machine Translation (HP)
|
100% |
15859
273.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16004
276.6 IPS |
