MacBook Pro (16-inch, 2023)
Geekbench AI Score
4128
Single Precision Score
27283
Half Precision Score
30334
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | SojW |
| Upload Date | June 03 2025 10:29 AM |
| Views | 4 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
14625
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
17289
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1705
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19697
319.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24954
404.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12992
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
105655
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104491
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
99% |
15791
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17348
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3587
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
35963
427.3 IPS |
|
|
Face Detection (Q)
|
100% |
46359
550.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6278
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
88146
679.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108867
850.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24630
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
204004
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
190537
245.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5038
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42725
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49470
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4115
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4084
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4258
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4183
72.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4342
75.0 IPS |
