MacBook Pro (14-inch, 2024)
Geekbench AI Score
5389
Single Precision Score
36992
Half Precision Score
50134
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sundogya |
| Upload Date | June 07 2025 05:51 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
17456
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22061
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23336
378.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32368
524.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17162
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122629
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228680
268.0 IPS |
|
|
Object Detection (SP)
|
100% |
2483
197.0 IPS |
|
|
Object Detection (HP)
|
100% |
19903
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24853
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4696
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
45674
542.7 IPS |
|
|
Face Detection (Q)
|
100% |
66317
788.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8620
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110073
848.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
180852
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
24906
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
233661
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297172
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5953
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46848
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78894
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5111
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5179
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5756
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17158
295.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16975
293.4 IPS |
