MacBook Pro (16-inch, 2023)
Geekbench AI Score
14755
Single Precision Score
16029
Half Precision Score
14444
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 05 2025 12:30 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.35 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6955
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7101
1.32 KIPS |
|
|
Image Classification (Q)
|
97% |
6149
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12679
205.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12574
203.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12366
200.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
83324
97.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
87404
102.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
81295
95.3 IPS |
|
|
Object Detection (SP)
|
100% |
6234
494.5 IPS |
|
|
Object Detection (HP)
|
100% |
6592
522.9 IPS |
|
|
Object Detection (Q)
|
91% |
5687
454.4 IPS |
|
|
Face Detection (SP)
|
100% |
26825
318.7 IPS |
|
|
Face Detection (HP)
|
100% |
26380
313.5 IPS |
|
|
Face Detection (Q)
|
100% |
19803
235.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33241
256.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34012
262.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
28760
224.8 IPS |
|
|
Style Transfer (SP)
|
100% |
134852
173.4 IPS |
|
|
Style Transfer (HP)
|
100% |
153310
197.1 IPS |
|
|
Style Transfer (Q)
|
96% |
142679
184.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20508
757.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20994
775.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17134
632.7 IPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3865
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3842
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1951
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1951
33.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2102
36.3 IPS |
