MacBook Pro (14-inch, 2024)
Geekbench AI Score
5397
Single Precision Score
37823
Half Precision Score
51374
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | basically_angel |
| Upload Date | May 13 2025 07:07 AM |
| Views | 9 |
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% |
2060
383.1 IPS |
|
|
Image Classification (HP)
|
100% |
17986
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
24273
4.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23520
381.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32522
527.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17367
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122649
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230710
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
20355
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24515
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4542
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
45406
539.5 IPS |
|
|
Face Detection (Q)
|
100% |
66696
792.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8638
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
113586
875.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
180652
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25632
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
239136
307.4 IPS |
|
|
Style Transfer (Q)
|
96% |
304949
393.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6012
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47164
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81535
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5794
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5707
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5719
98.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16835
290.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16778
289.9 IPS |
