MacBook Pro (16-inch, 2024)
Geekbench AI Score
15279
Single Precision Score
17214
Half Precision Score
15297
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | topgun966 |
| Upload Date | February 11 2025 03:09 AM |
| Views | 9 |
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% |
7575
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
8027
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
6874
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11946
193.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12992
210.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13319
215.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56267
65.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
58676
68.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
55493
65.0 IPS |
|
|
Object Detection (SP)
|
100% |
7138
566.2 IPS |
|
|
Object Detection (HP)
|
100% |
7530
597.3 IPS |
|
|
Object Detection (Q)
|
91% |
6280
501.8 IPS |
|
|
Face Detection (SP)
|
100% |
25600
304.2 IPS |
|
|
Face Detection (HP)
|
100% |
28650
340.4 IPS |
|
|
Face Detection (Q)
|
100% |
20286
241.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
33383
257.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35034
269.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
29303
229.0 IPS |
|
|
Style Transfer (SP)
|
100% |
119688
153.9 IPS |
|
|
Style Transfer (HP)
|
100% |
134101
172.4 IPS |
|
|
Style Transfer (Q)
|
96% |
126441
163.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22645
836.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24357
899.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19508
720.3 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5184
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5156
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2813
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2918
50.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2909
50.3 IPS |
