MacBook Pro (16-inch, 2024)
Geekbench AI Score
15125
Single Precision Score
17411
Half Precision Score
15478
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | January 20 2025 07:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
7668
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
8029
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
6772
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12029
195.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12871
208.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13288
215.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
56771
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59151
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
55912
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7157
567.7 IPS |
|
|
Object Detection (HP)
|
100% |
7746
614.4 IPS |
|
|
Object Detection (Q)
|
91% |
6495
519.0 IPS |
|
|
Face Detection (SP)
|
100% |
25668
305.0 IPS |
|
|
Face Detection (HP)
|
100% |
28374
337.1 IPS |
|
|
Face Detection (Q)
|
100% |
21097
250.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
33375
257.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
36191
278.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
29605
231.4 IPS |
|
|
Style Transfer (SP)
|
100% |
124203
159.7 IPS |
|
|
Style Transfer (HP)
|
100% |
134878
173.4 IPS |
|
|
Style Transfer (Q)
|
96% |
126904
163.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22891
845.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24377
900.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19586
723.2 IPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5295
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5172
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2335
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3025
52.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3008
52.0 IPS |
