MacBook Pro (14-inch, 2023)
Geekbench AI Score
3111
Single Precision Score
25195
Half Precision Score
27550
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | devy |
| Upload Date | October 22 2025 05:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 2.38 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1030
191.6 IPS |
|
|
Image Classification (HP)
|
100% |
13938
2.59 KIPS |
|
|
Image Classification (Q)
|
96% |
16487
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18943
307.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22366
362.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9185
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
107028
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105605
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (HP)
|
99% |
15373
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16571
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
2637
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
34107
405.3 IPS |
|
|
Face Detection (Q)
|
100% |
42599
506.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4547
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87669
675.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
108732
849.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19110
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204716
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
190710
246.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3874
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42264
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48230
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
1882
2.51 KIPS |
|
|
Text Classification (HP)
|
99% |
3043
4.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2963
3.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3363
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3015
51.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3093
53.5 IPS |
