MacBook Pro (16-inch, 2024)
Geekbench AI Score
5386
Single Precision Score
37390
Half Precision Score
50841
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | souko |
| Upload Date | January 10 2026 11:40 AM |
| Views | 3 |
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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
17871
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
22241
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23299
377.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32363
524.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17062
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122666
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228319
267.6 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
20333
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24103
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4720
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
45762
543.8 IPS |
|
|
Face Detection (Q)
|
100% |
66235
787.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8624
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
112159
864.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
176634
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25301
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238106
306.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303732
392.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47187
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78363
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5387
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6143
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5695
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16554
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17030
294.3 IPS |
