MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4063
Single Precision Score
7170
Half Precision Score
5820
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | fatcatmac |
| Upload Date | March 26 2026 02:52 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
1541
286.6 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.1 IPS |
|
|
Image Classification (Q)
|
96% |
2057
384.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1903
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3006
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3304
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8408
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
17457
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15096
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1726
136.9 IPS |
|
|
Object Detection (HP)
|
97% |
3230
257.1 IPS |
|
|
Object Detection (Q)
|
94% |
2352
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
6830
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
4088
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6989
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12724
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9053
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21978
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33692
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28043
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4958
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6059
223.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4373
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
3100
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5199
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5168
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3373
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7839
135.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7883
136.2 IPS |
