MacBook Pro (16-inch, 2023)
Geekbench AI Score
4167
Single Precision Score
23780
Half Precision Score
26065
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Buschiiiii |
| Upload Date | October 09 2024 11:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.64 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
14401
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
17082
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10247
166.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11438
185.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13069
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106247
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104412
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
99% |
15970
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17479
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3589
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
36284
431.1 IPS |
|
|
Face Detection (Q)
|
100% |
46313
550.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6300
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87646
675.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
108893
851.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24781
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204638
263.1 IPS |
|
|
Style Transfer (Q)
|
96% |
190794
246.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5093
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41703
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49940
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3965
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3954
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4656
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2147
37.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2137
36.9 IPS |
