MacBook Pro (16-inch, 2023)
Geekbench AI Score
4075
Single Precision Score
27038
Half Precision Score
30231
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | March 05 2025 07:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
14332
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
17420
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19560
317.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24773
401.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12357
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
106892
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104161
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
99% |
16156
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
17845
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3463
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
35984
427.6 IPS |
|
|
Face Detection (Q)
|
100% |
43986
522.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6243
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88042
678.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
109258
853.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25360
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
207370
266.6 IPS |
|
|
Style Transfer (Q)
|
96% |
196247
253.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5041
186.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42470
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51521
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3852
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3886
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4301
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4014
69.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4210
72.7 IPS |
