MacBook Pro (16-inch, 2024)
Geekbench AI Score
15432
Single Precision Score
17146
Half Precision Score
15419
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mingchang137 |
| Upload Date | January 05 2025 09:26 AM |
| Views | 12 |
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% |
7511
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7950
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
6815
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12078
195.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12986
210.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13306
215.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
56641
66.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
59076
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55914
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7199
571.0 IPS |
|
|
Object Detection (HP)
|
100% |
7747
614.5 IPS |
|
|
Object Detection (Q)
|
91% |
6609
528.1 IPS |
|
|
Face Detection (SP)
|
100% |
25876
307.5 IPS |
|
|
Face Detection (HP)
|
100% |
27802
330.3 IPS |
|
|
Face Detection (Q)
|
100% |
21078
250.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33885
261.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35792
275.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
29571
231.1 IPS |
|
|
Style Transfer (SP)
|
100% |
123995
159.4 IPS |
|
|
Style Transfer (HP)
|
100% |
134523
172.9 IPS |
|
|
Style Transfer (Q)
|
96% |
127206
164.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22903
845.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24319
898.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19159
707.5 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5147
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5134
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2823
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2907
50.2 IPS |
