MacBook Pro (16-inch, 2023)
Geekbench AI Score
14256
Single Precision Score
15834
Half Precision Score
13332
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Buschiiiii |
| Upload Date | October 09 2024 11:00 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7113
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
6933
1.29 KIPS |
|
|
Image Classification (Q)
|
97% |
5365
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12309
199.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12478
202.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12048
195.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
83271
97.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
87219
101.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
77976
91.4 IPS |
|
|
Object Detection (SP)
|
100% |
6531
518.0 IPS |
|
|
Object Detection (HP)
|
100% |
6819
540.9 IPS |
|
|
Object Detection (Q)
|
91% |
5653
451.7 IPS |
|
|
Face Detection (SP)
|
100% |
28410
337.6 IPS |
|
|
Face Detection (HP)
|
100% |
29080
345.5 IPS |
|
|
Face Detection (Q)
|
100% |
19847
235.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33943
261.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34854
268.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
29181
228.1 IPS |
|
|
Style Transfer (SP)
|
100% |
135989
174.8 IPS |
|
|
Style Transfer (HP)
|
100% |
152704
196.3 IPS |
|
|
Style Transfer (Q)
|
96% |
140683
181.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20587
760.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20797
767.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15960
589.3 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3938
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3911
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1164
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1225
21.2 IPS |
