MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11849
Single Precision Score
13504
Half Precision Score
12649
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 06 2025 08:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5759
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
5924
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5475
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9330
151.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9961
161.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9817
159.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34942
40.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
36541
42.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
35535
41.6 IPS |
|
|
Object Detection (SP)
|
100% |
5468
433.7 IPS |
|
|
Object Detection (HP)
|
100% |
5966
473.2 IPS |
|
|
Object Detection (Q)
|
92% |
5295
422.7 IPS |
|
|
Face Detection (SP)
|
100% |
16544
196.6 IPS |
|
|
Face Detection (HP)
|
100% |
19563
232.5 IPS |
|
|
Face Detection (Q)
|
100% |
16350
194.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23322
179.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24719
190.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
23082
180.5 IPS |
|
|
Style Transfer (SP)
|
100% |
77703
99.9 IPS |
|
|
Style Transfer (HP)
|
100% |
87103
112.0 IPS |
|
|
Style Transfer (Q)
|
96% |
83615
107.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13835
510.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15158
559.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12928
477.4 IPS |
|
|
Text Classification (SP)
|
100% |
2845
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5005
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5159
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4506
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4908
84.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4929
85.2 IPS |
