MacBook Pro (16-inch, 2023)
Geekbench AI Score
4203
Single Precision Score
27193
Half Precision Score
30180
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Rhein080 |
| Upload Date | January 27 2025 06:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
14929
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
17548
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1705
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19879
322.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24554
398.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12948
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
106270
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104467
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
99% |
15559
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17438
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3724
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
35692
424.1 IPS |
|
|
Face Detection (Q)
|
100% |
44505
528.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6368
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88498
681.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
110817
866.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25037
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204595
263.0 IPS |
|
|
Style Transfer (Q)
|
96% |
193170
249.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5119
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42458
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50906
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3947
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4648
80.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4127
71.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4173
72.1 IPS |
