MacBook Pro (14-inch, 2024)
Geekbench AI Score
5365
Single Precision Score
37363
Half Precision Score
50733
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 05:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
17553
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
23869
4.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2270
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23338
378.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32270
523.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17231
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123952
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
228823
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
19685
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23789
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4635
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
45388
539.3 IPS |
|
|
Face Detection (Q)
|
100% |
66100
785.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8641
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
108074
832.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177368
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25578
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
238550
306.7 IPS |
|
|
Style Transfer (Q)
|
96% |
302298
390.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5974
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47052
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79760
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5894
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5671
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5536
95.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16346
281.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16806
290.4 IPS |
