MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4068
Single Precision Score
30621
Half Precision Score
34306
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | z0nked |
| Upload Date | January 31 2026 10:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1565
291.1 IPS |
|
|
Image Classification (HP)
|
100% |
15579
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
17116
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22813
369.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
28236
457.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8443
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
120229
140.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
120878
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (HP)
|
100% |
17267
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
19779
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
3754
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
39479
469.1 IPS |
|
|
Face Detection (Q)
|
100% |
51980
617.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7150
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
96151
740.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
122214
955.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22191
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
226005
290.5 IPS |
|
|
Style Transfer (Q)
|
96% |
218566
282.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4874
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45033
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54097
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5162
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5066
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4927
84.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5136
88.7 IPS |
