MacBook Pro (16-inch, 2023)
Geekbench AI Score
4101
Single Precision Score
26787
Half Precision Score
29744
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | jimmydai666 |
| Upload Date | March 07 2026 02:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
15229
2.83 KIPS |
|
|
Image Classification (Q)
|
96% |
18096
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1666
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20255
328.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24678
400.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11957
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
105875
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104557
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1637
129.9 IPS |
|
|
Object Detection (HP)
|
99% |
15737
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17202
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
36374
432.2 IPS |
|
|
Face Detection (Q)
|
100% |
46976
558.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6113
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88736
683.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
111070
868.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25548
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204712
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
189537
244.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4949
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44473
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51738
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2505
3.34 KIPS |
|
|
Text Classification (HP)
|
99% |
4237
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4217
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4334
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2973
51.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3128
54.1 IPS |
