MacBook Pro (16-inch, 2024)
Geekbench AI Score
5388
Single Precision Score
37095
Half Precision Score
49850
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 21 2025 06:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
17468
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22925
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23308
377.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32153
521.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17474
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122661
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228290
267.6 IPS |
|
|
Object Detection (SP)
|
100% |
2494
197.9 IPS |
|
|
Object Detection (HP)
|
100% |
19922
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
23975
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4747
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
45423
539.7 IPS |
|
|
Face Detection (Q)
|
100% |
65987
784.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8656
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111257
857.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
177301
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25516
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
237082
304.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301081
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5958
220.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46408
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78412
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2882
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5470
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5205
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5612
96.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16305
280.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16340
282.4 IPS |
