MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4154
Single Precision Score
30814
Half Precision Score
34583
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 06 2025 08:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1624
302.0 IPS |
|
|
Image Classification (HP)
|
100% |
16505
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
19011
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22535
365.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27968
453.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9018
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120278
140.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
119915
140.5 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
100% |
17255
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
20085
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
3794
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
39932
474.5 IPS |
|
|
Face Detection (Q)
|
100% |
50221
596.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7148
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97070
747.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
121155
947.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22295
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
226324
290.9 IPS |
|
|
Style Transfer (Q)
|
96% |
219340
283.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5246
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44797
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54506
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2850
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5122
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5175
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4967
85.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5077
87.7 IPS |
