MacBook Pro (14-inch, 2024)
Geekbench AI Score
15844
Single Precision Score
17860
Half Precision Score
15939
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 23 2025 03:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.13 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8042
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8675
1.61 KIPS |
|
|
Image Classification (Q)
|
97% |
7247
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12432
201.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13343
216.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13573
220.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
56961
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59413
69.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
56268
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
7405
587.4 IPS |
|
|
Object Detection (HP)
|
100% |
7922
628.4 IPS |
|
|
Object Detection (Q)
|
91% |
6551
523.5 IPS |
|
|
Face Detection (SP)
|
100% |
25814
306.7 IPS |
|
|
Face Detection (HP)
|
100% |
28645
340.4 IPS |
|
|
Face Detection (Q)
|
100% |
21975
261.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
34689
267.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
36614
282.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
30950
241.9 IPS |
|
|
Style Transfer (SP)
|
100% |
126212
162.2 IPS |
|
|
Style Transfer (HP)
|
100% |
138465
178.0 IPS |
|
|
Style Transfer (Q)
|
96% |
130637
168.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23910
882.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25468
940.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20145
743.8 IPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5275
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5283
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2950
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3088
53.4 IPS |
