MacBook Pro (16-inch, 2023)
Geekbench AI Score
4155
Single Precision Score
27192
Half Precision Score
30369
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AArch64
Result Information
| User | hwjaensch |
| Upload Date | May 30 2025 01:22 PM |
| Views | 18 |
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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
14459
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
16998
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20087
325.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24911
403.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13083
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
105541
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104447
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (HP)
|
99% |
15457
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17419
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
35987
427.6 IPS |
|
|
Face Detection (Q)
|
100% |
45881
545.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6249
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88108
678.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
109714
857.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24808
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202566
260.4 IPS |
|
|
Style Transfer (Q)
|
96% |
190164
245.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5054
186.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41637
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49729
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4169
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4126
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4483
77.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4185
72.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4410
76.2 IPS |
