MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4813
Single Precision Score
27533
Half Precision Score
29658
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | October 31 2024 11:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1516
281.9 IPS |
|
|
Image Classification (HP)
|
100% |
16586
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
17272
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1866
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16454
266.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19257
312.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16732
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120613
140.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
118949
139.4 IPS |
|
|
Object Detection (SP)
|
100% |
1975
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
16866
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
16778
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
4044
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
38618
458.9 IPS |
|
|
Face Detection (Q)
|
100% |
48082
571.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7336
56.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100651
775.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
115959
906.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30719
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
221383
284.6 IPS |
|
|
Style Transfer (Q)
|
96% |
208605
269.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5942
219.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37899
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50794
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4896
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4763
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4857
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2825
48.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2819
48.7 IPS |
