MacBook Pro (14-inch, 2024)
Geekbench AI Score
15121
Single Precision Score
17341
Half Precision Score
15247
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | JaDerHey |
| Upload Date | January 21 2025 07:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 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% |
7603
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7967
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
6782
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12005
194.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13143
213.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13255
214.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56450
65.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
59086
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55902
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7111
564.0 IPS |
|
|
Object Detection (HP)
|
100% |
7592
602.2 IPS |
|
|
Object Detection (Q)
|
91% |
6244
499.0 IPS |
|
|
Face Detection (SP)
|
100% |
25367
301.4 IPS |
|
|
Face Detection (HP)
|
100% |
28576
339.5 IPS |
|
|
Face Detection (Q)
|
100% |
20074
238.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33158
255.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35764
275.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
29577
231.2 IPS |
|
|
Style Transfer (SP)
|
100% |
123553
158.8 IPS |
|
|
Style Transfer (HP)
|
100% |
134488
172.9 IPS |
|
|
Style Transfer (Q)
|
96% |
127060
164.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23283
859.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24756
914.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19187
708.5 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5177
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5147
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2403
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2972
51.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2906
50.2 IPS |
