MacBook Pro (14-inch, 2024)
Geekbench AI Score
5373
Single Precision Score
37962
Half Precision Score
51530
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 22 2025 09:43 AM |
| Views | 2 |
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% |
2045
380.3 IPS |
|
|
Image Classification (HP)
|
100% |
18171
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
23045
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23551
381.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32373
524.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17137
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122844
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
228115
267.4 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
20251
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24398
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4601
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
45794
544.1 IPS |
|
|
Face Detection (Q)
|
100% |
64490
766.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8632
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112070
863.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
179675
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
25675
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
237391
305.2 IPS |
|
|
Style Transfer (Q)
|
96% |
302312
390.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5953
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47536
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81137
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5878
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6607
8.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5672
97.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17153
295.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16932
292.6 IPS |
