MacBook Pro (16-inch, 2024)
Geekbench AI Score
5392
Single Precision Score
36616
Half Precision Score
49327
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 21 2025 06:38 AM |
| Views | 4 |
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% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
17411
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
21771
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23253
377.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32214
522.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17141
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122659
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228227
267.5 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
19442
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
23281
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4745
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
45391
539.3 IPS |
|
|
Face Detection (Q)
|
100% |
66158
786.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8650
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
106025
816.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
176877
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25684
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
238917
307.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303037
391.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6000
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46340
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78061
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2888
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5191
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5061
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5641
97.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16226
279.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16338
282.3 IPS |
