MacBook Pro (14-inch, 2024)
Geekbench AI Score
5702
Single Precision Score
37177
Half Precision Score
49969
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Nahkriinsoul |
| Upload Date | January 14 2025 05:51 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
17646
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
22405
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2544
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23208
376.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32974
534.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18591
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122902
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
229245
268.7 IPS |
|
|
Object Detection (SP)
|
100% |
2367
187.8 IPS |
|
|
Object Detection (HP)
|
100% |
20250
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
23734
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4396
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
44111
524.1 IPS |
|
|
Face Detection (Q)
|
100% |
59738
709.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8627
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112885
869.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
181879
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35593
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
236145
303.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302394
390.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7094
262.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46927
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78945
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5378
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5590
96.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16679
287.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16781
290.0 IPS |
