MacBook Pro (16-inch, 2023)
Geekbench AI Score
4091
Single Precision Score
27187
Half Precision Score
30700
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | June 27 2025 04:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
14519
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
17741
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19633
318.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24757
401.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12805
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
107164
125.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106126
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
1653
131.2 IPS |
|
|
Object Detection (HP)
|
99% |
16174
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
18231
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3504
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
34567
410.7 IPS |
|
|
Face Detection (Q)
|
100% |
45754
543.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6108
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88177
679.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
111203
869.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25027
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205368
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
192800
248.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5076
187.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42684
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51760
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4149
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4095
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4419
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4209
72.7 IPS |
