MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4064
Single Precision Score
30813
Half Precision Score
34367
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 04 2025 02:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.06 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1560
290.0 IPS |
|
|
Image Classification (HP)
|
100% |
15642
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
17156
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22851
370.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
28373
459.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8437
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
121182
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
121064
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (HP)
|
100% |
17520
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20638
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
3728
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
39733
472.1 IPS |
|
|
Face Detection (Q)
|
100% |
52015
618.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7111
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95973
739.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
119717
936.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22020
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
228577
293.8 IPS |
|
|
Style Transfer (Q)
|
96% |
219884
283.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4960
183.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46210
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53449
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5042
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4964
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5007
86.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5203
89.9 IPS |
