MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4072
Single Precision Score
7159
Half Precision Score
5883
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | thegreatwhitejb |
| Upload Date | February 14 2026 02:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1553
288.7 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.5 IPS |
|
|
Image Classification (Q)
|
96% |
2076
387.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2911
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3407
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8434
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
17462
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15193
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1739
138.0 IPS |
|
|
Object Detection (HP)
|
97% |
3267
260.1 IPS |
|
|
Object Detection (Q)
|
94% |
2404
191.6 IPS |
|
|
Face Detection (SP)
|
100% |
3746
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
7184
85.4 IPS |
|
|
Face Detection (Q)
|
100% |
4248
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7141
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12892
99.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9193
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22125
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33950
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28441
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4839
178.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5780
213.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4382
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
3052
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5067
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4998
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3382
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7828
135.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7913
136.7 IPS |
