MacBook Pro (16-inch, 2023)
Geekbench AI Score
4127
Single Precision Score
27403
Half Precision Score
30778
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 14 2025 09:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
14966
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
17648
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1659
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20085
325.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24756
401.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12885
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
106527
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106123
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
1661
131.8 IPS |
|
|
Object Detection (HP)
|
99% |
16171
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
18155
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
35500
421.8 IPS |
|
|
Face Detection (Q)
|
100% |
46390
551.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6078
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88348
680.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
111141
868.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24918
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205357
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
194304
250.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5136
189.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42293
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50492
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4091
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4085
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4436
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4138
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4387
75.8 IPS |
