MacBook Pro (16-inch, 2023)
Geekbench AI Score
4101
Single Precision Score
27113
Half Precision Score
30374
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | April 26 2025 10:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
14205
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
17428
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20072
325.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24317
394.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12606
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
106456
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104166
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.3 IPS |
|
|
Object Detection (HP)
|
99% |
15181
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17188
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
35602
423.0 IPS |
|
|
Face Detection (Q)
|
100% |
45761
543.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6229
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
88370
680.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
109395
854.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24865
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202046
259.7 IPS |
|
|
Style Transfer (Q)
|
96% |
190734
246.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5029
185.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42601
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51046
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4107
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4082
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4415
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4190
72.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4428
76.5 IPS |
