MacBook Pro (14-inch, 2024)
Geekbench AI Score
15738
Single Precision Score
17646
Half Precision Score
15799
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | joeyyax |
| Upload Date | January 30 2025 01:47 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 4.47 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8114
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
8394
1.56 KIPS |
|
|
Image Classification (Q)
|
97% |
7057
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12214
198.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13193
213.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13654
221.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56986
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59287
69.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
56280
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
7361
583.9 IPS |
|
|
Object Detection (HP)
|
100% |
7915
627.9 IPS |
|
|
Object Detection (Q)
|
91% |
6661
532.3 IPS |
|
|
Face Detection (SP)
|
100% |
25851
307.2 IPS |
|
|
Face Detection (HP)
|
100% |
27534
327.2 IPS |
|
|
Face Detection (Q)
|
100% |
21565
256.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
34224
263.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
37040
285.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
30736
240.2 IPS |
|
|
Style Transfer (SP)
|
100% |
125964
161.9 IPS |
|
|
Style Transfer (HP)
|
100% |
138132
177.6 IPS |
|
|
Style Transfer (Q)
|
96% |
129741
167.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23562
870.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25485
941.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20007
738.8 IPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5132
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5161
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2937
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3059
52.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3022
52.2 IPS |
