MacBook Pro (16-inch, 2024)
Geekbench AI Score
5366
Single Precision Score
37424
Half Precision Score
50439
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | aleo |
| Upload Date | December 21 2025 11:08 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
17951
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
22422
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23293
377.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32142
521.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17101
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122710
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
228850
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
19968
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24081
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
45608
541.9 IPS |
|
|
Face Detection (Q)
|
100% |
67190
798.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8620
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
106127
817.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
180767
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25677
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
236891
304.5 IPS |
|
|
Style Transfer (Q)
|
96% |
306330
395.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5989
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47594
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80459
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5811
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5436
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5491
94.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16590
285.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16492
285.0 IPS |
