MacBook Pro (16-inch, 2024)
Geekbench AI Score
5378
Single Precision Score
37088
Half Precision Score
50046
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 12 2025 11:38 AM |
| Views | 8 |
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% |
2073
385.4 IPS |
|
|
Image Classification (HP)
|
100% |
17754
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
22797
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2270
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23288
377.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32037
519.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17431
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122619
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229568
269.1 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
19923
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
23542
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4715
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
45290
538.1 IPS |
|
|
Face Detection (Q)
|
100% |
63019
748.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8624
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111187
856.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
176717
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25106
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
236915
304.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301448
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5960
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46227
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78107
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2878
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5458
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5867
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5670
97.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16200
279.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16231
280.5 IPS |
