MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4024
Single Precision Score
30166
Half Precision Score
33868
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | tellumo |
| Upload Date | November 16 2025 06:28 PM |
| Views | 4 |
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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1551
288.5 IPS |
|
|
Image Classification (HP)
|
100% |
15395
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
17210
3.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22789
369.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27801
450.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8442
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
120836
141.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
119648
140.2 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
100% |
17525
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20300
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
37997
451.5 IPS |
|
|
Face Detection (Q)
|
100% |
49239
585.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7054
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
92493
712.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
118377
925.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22026
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
222773
286.4 IPS |
|
|
Style Transfer (Q)
|
96% |
215913
278.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4894
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44467
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53893
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
5047
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5033
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4780
82.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5006
86.5 IPS |
