MacBook Pro (14-inch, 2024)
Geekbench AI Score
5741
Single Precision Score
37089
Half Precision Score
49905
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | himmallright |
| Upload Date | March 07 2025 09:41 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
18101
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
21825
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23198
376.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32183
521.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18838
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
124546
145.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230598
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
19673
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
25350
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4486
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
44333
526.8 IPS |
|
|
Face Detection (Q)
|
100% |
64474
766.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8685
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110234
849.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177077
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35385
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
239749
308.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301732
389.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7078
261.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46526
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78507
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5414
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5238
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5751
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16224
279.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16475
284.7 IPS |
