MacBook Pro (14-inch, 2024)
Geekbench AI Score
5792
Single Precision Score
36467
Half Precision Score
48894
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cryosurge |
| Upload Date | March 30 2025 06:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
17125
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
21964
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23105
374.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32071
519.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18981
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123544
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230751
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2494
197.8 IPS |
|
|
Object Detection (HP)
|
100% |
19323
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23738
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4564
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
44003
522.8 IPS |
|
|
Face Detection (Q)
|
100% |
55565
660.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8785
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111052
855.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
178514
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35511
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237302
305.1 IPS |
|
|
Style Transfer (Q)
|
96% |
305463
394.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7103
262.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46334
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77116
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5125
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5342
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5845
100.7 IPS |
|
|
Machine Translation (HP)
|
100% |
15991
275.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16216
280.2 IPS |
