MacBook Pro (16-inch, 2024)
Geekbench AI Score
15595
Single Precision Score
17537
Half Precision Score
15464
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ESPD |
| Upload Date | December 15 2024 05:27 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7794
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
8221
1.53 KIPS |
|
|
Image Classification (Q)
|
97% |
6971
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12370
200.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13281
215.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13644
221.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56895
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
59258
69.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
56212
65.9 IPS |
|
|
Object Detection (SP)
|
100% |
7320
580.7 IPS |
|
|
Object Detection (HP)
|
100% |
7798
618.5 IPS |
|
|
Object Detection (Q)
|
91% |
6519
520.9 IPS |
|
|
Face Detection (SP)
|
100% |
25944
308.3 IPS |
|
|
Face Detection (HP)
|
100% |
28278
336.0 IPS |
|
|
Face Detection (Q)
|
100% |
20871
248.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
33971
261.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36441
280.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
29892
233.6 IPS |
|
|
Style Transfer (SP)
|
100% |
124153
159.6 IPS |
|
|
Style Transfer (HP)
|
100% |
135505
174.2 IPS |
|
|
Style Transfer (Q)
|
96% |
127731
164.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23343
861.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24948
921.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19867
733.6 IPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5260
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5233
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2977
51.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2709
46.8 IPS |
