DevBook MacBook Pro (14-inch, 2024)
Geekbench AI Score
14490
Single Precision Score
16238
Half Precision Score
14520
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tntoak |
| Upload Date | March 26 2025 06:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7852
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
8093
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
6887
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12059
195.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12884
208.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13392
217.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
56723
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59189
69.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
55899
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7214
572.2 IPS |
|
|
Object Detection (HP)
|
100% |
7669
608.3 IPS |
|
|
Object Detection (Q)
|
91% |
6517
520.8 IPS |
|
|
Face Detection (SP)
|
100% |
25703
305.4 IPS |
|
|
Face Detection (HP)
|
100% |
29179
346.7 IPS |
|
|
Face Detection (Q)
|
100% |
21318
253.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33282
256.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35752
275.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
30194
236.0 IPS |
|
|
Style Transfer (SP)
|
100% |
123560
158.8 IPS |
|
|
Style Transfer (HP)
|
100% |
135101
173.7 IPS |
|
|
Style Transfer (Q)
|
96% |
128166
165.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23070
851.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24633
909.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19392
716.0 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5257
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5215
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1473
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1476
25.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1487
25.7 IPS |
